The optimal ionic concentration of sensing buffer in the detection of RNA by using the DNA probe with the silicon nanowire field-effect transistor (SiNW-FET) Article Swipe
Wen-Pin Hu
,
Jui-Shen Wang
,
Y. C. Chiu
,
Tsung-Yi Huang
,
Bharath Kumar Yadlapalli
,
Wen‐Yih Chen
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.talanta.2025.128375
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.talanta.2025.128375
This study investigates optimal conditions for surface modification and ionic concentration of sensing buffers for miRNA-21 detection using DNA probes on silicon nanowire field-effect transistor (SiNW-FET) biosensors. Ionic strength is a key factor influencing DNA/RNA hybridization efficiency and FET detection sensitivity by affecting duplex formation and the Debye length. An optimal balance between these effects is crucial for ultra-sensitive miRNA detection. The surface functionalization process was optimized through systematic testing of reaction time, temperature, and pH. A 30-min silanization reaction at room temperature without pH adjustment, followed by acetic acid rinsing, resulted in the most uniform silica surface. For hybridization detection, fluorescence microscopy showed that the highest ionic strength (150 mM) of Bis-Tris propane (BTP) buffer produced the greatest hybridization amount. Grazing-incidence small-angle X-ray scattering (GISAXS) confirmed stable secondary structures in DNA/DNA and DNA/RNA hybrids across all ionic strengths. For SiNW-FET measurements, BTP buffers with varying ionic strengths (10 mM, 50 mM, and 150 mM) were tested. A 50 mM BTP buffer provided the optimal balance between ionic strength for hybridization and electric double-layer structure, yielding the highest voltage shifts and enhanced sensitivity for ultra-low miRNA concentrations. Moreover, 50 mM BTP outperformed 50 mM PBS due to BTP's larger counterions reduced ion accumulation on the sensor surface, further improving sensitivity. These findings are crucial for advancing non-invasive liquid biopsy techniques in detecting low-concentration miRNAs.
Related Topics
Concepts
Chemistry
Nanowire
Buffer (optical fiber)
Field-effect transistor
Transistor
DNA
Ionic bonding
RNA
Buffer solution
Silicon
Silicon nanowires
Optoelectronics
Nanotechnology
Analytical Chemistry (journal)
Ion
Chromatography
Voltage
Biochemistry
Electrical engineering
Gene
Physics
Engineering
Materials science
Organic chemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.talanta.2025.128375
- OA Status
- hybrid
- Cited By
- 2
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410762572
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410762572Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.talanta.2025.128375Digital Object Identifier
- Title
-
The optimal ionic concentration of sensing buffer in the detection of RNA by using the DNA probe with the silicon nanowire field-effect transistor (SiNW-FET)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-27Full publication date if available
- Authors
-
Wen-Pin Hu, Jui-Shen Wang, Y. C. Chiu, Tsung-Yi Huang, Bharath Kumar Yadlapalli, Wen‐Yih ChenList of authors in order
- Landing page
-
https://doi.org/10.1016/j.talanta.2025.128375Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.talanta.2025.128375Direct OA link when available
- Concepts
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Chemistry, Nanowire, Buffer (optical fiber), Field-effect transistor, Transistor, DNA, Ionic bonding, RNA, Buffer solution, Silicon, Silicon nanowires, Optoelectronics, Nanotechnology, Analytical Chemistry (journal), Ion, Chromatography, Voltage, Biochemistry, Electrical engineering, Gene, Physics, Engineering, Materials science, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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